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https://github.com/dygila/dygila

Repository of dyGiLa project
https://github.com/dygila/dygila

dynamics-simulation ginzburg-landau gpu-computing heterogeneous-parallel-programming high-performance-computing lattice-field-theory parallel-computing phase-transition superfluid topological-defects

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Repository of dyGiLa project

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# dyGiLa
![dyGiLa Logo](https://github.com/dyGiLa/Images/blob/main/reposity-readme-logo-pic.png)

[![Home Page](https://img.shields.io/badge/Home-Website-blue?style=plastic&logo=Google-Chrome&logoColor=white)](https://dygila.github.io)
[![YouTube Channel](https://img.shields.io/badge/YouTube-Channel-red?style=plastic&logo=YouTube&logoColor=white)](https://www.youtube.com/@Superfluid-Field-Sim)
[![Releases](https://img.shields.io/github/v/release/dyGiLa/dyGiLa?style=plastic&logo=GitHub)](https://github.com/dyGiLa/dyGiLa/releases)
[![Contributors](https://img.shields.io/github/contributors/dyGiLa/dyGiLa?style=plastic&logo=GitHub)](https://github.com/dyGiLa/dyGiLa/graphs/contributors)

The dyGiLa project is an effort to apply algorithms of lattice field theory
and enabling GPU-CPU hybrid technologies with C++ fashion for efficient HPC simulation of
large-scale, 3-dimensional tensor-valued p-wave Ginzburg-Landau effective theory.

### Documentation

- [Dependencies and Compilation](https://dygila.github.io/install)

- [Benchmarks](https://dygila.github.io/benchmark)

### License

dyGiLa is licensed on under GPL-v2 license.

### Contributing

We appreciate your willingness to contribute to the dyGiLa project.